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# Conflicts: # x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/session/EsqlCCSUtils.java
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docs/changelog/123156.yaml

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pr: 123156
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summary: Wrap remote errors with cluster name to provide more context
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area: Search
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type: enhancement
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issues: []

docs/changelog/125652.yaml

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pr: 125652
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summary: Run `TransportGetIndexAction` on local node
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area: Indices APIs
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type: enhancement
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issues: []

docs/changelog/125694.yaml

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pr: 125694
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summary: LTR score bounding
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area: Ranking
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type: bug
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issues: []

docs/changelog/126002.yaml

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pr: 126002
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summary: Run `TransportGetLifecycleAction` on local node
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area: ILM+SLM
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type: enhancement
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issues: []

docs/changelog/126038.yaml

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pr: 126038
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summary: Mark `rescore_vector` as generally available
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area: Vector Search
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type: enhancement
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issues: []

docs/reference/elasticsearch/mapping-reference/dense-vector.md

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: (Optional, float) Only applicable to `int8_hnsw`, `int4_hnsw`, `int8_flat`, and `int4_flat` index types. The confidence interval to use when quantizing the vectors. Can be any value between and including `0.90` and `1.0` or exactly `0`. When the value is `0`, this indicates that dynamic quantiles should be calculated for optimized quantization. When between `0.90` and `1.0`, this value restricts the values used when calculating the quantization thresholds. For example, a value of `0.95` will only use the middle 95% of the values when calculating the quantization thresholds (e.g. the highest and lowest 2.5% of values will be ignored). Defaults to `1/(dims + 1)` for `int8` quantized vectors and `0` for `int4` for dynamic quantile calculation.
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`rescore_vector`
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: (Optional, object) Functionality in [preview]. An optional section that configures automatic vector rescoring on knn queries for the given field. Only applicable to quantized index types.
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: (Optional, object) An optional section that configures automatic vector rescoring on knn queries for the given field. Only applicable to quantized index types.
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:::::{dropdown} Properties of `rescore_vector`
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`oversample`
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: (required, float) The amount to oversample the search results by. This value should be greater than `1.0` and less than `10.0` or exactly `0` to indicate no oversampling & rescoring should occur. The higher the value, the more vectors will be gathered and rescored with the raw values per shard.

docs/reference/elasticsearch/rest-apis/retrievers.md

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`rescore_vector`
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: (Optional, object) Functionality in [preview]. Apply oversampling and rescoring to quantized vectors.
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: (Optional, object) Apply oversampling and rescoring to quantized vectors.
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::::{note}
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Rescoring only makes sense for quantized vectors; when [quantization](/reference/elasticsearch/mapping-reference/dense-vector.md#dense-vector-quantization) is not used, the original vectors are used for scoring. Rescore option will be ignored for non-quantized `dense_vector` fields.

docs/reference/enrich-processor/index.md

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: Extracts the registered domain (also known as the effective top-level domain or eTLD), sub-domain, and top-level domain from a fully qualified domain name (FQDN).
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[`set_security_user` processor](/reference/enrich-processor/ingest-node-set-security-user-processor.md)
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: Sets user-related details (such as `username`, `roles`, `email`, `full_name`,`metadata`, `api_key`, `realm` and `authentication_type`) from the current authenticated user to the current document by pre-processing the ingest.
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: Sets user-related details (such as `username`, `roles`, `email`, `full_name`,`metadata`, `api_key`, `realm` and `authentication_type`) from the current authenticated user.
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[`uri_parts` processor](/reference/enrich-processor/uri-parts-processor.md)
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: Parses a Uniform Resource Identifier (URI) string and extracts its components as an object.
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[`date` processor](/reference/enrich-processor/date-processor.md)
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: Extracts and converts date fields.
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[`dot_expand`](/reference/enrich-processor/dot-expand-processor.md) processor
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[`dot_expand` processor](/reference/enrich-processor/dot-expand-processor.md)
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: Expands a field with dots into an object field.
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[`html_strip` processor](/reference/enrich-processor/htmlstrip-processor.md)

docs/reference/enrich-processor/ingest-node-set-security-user-processor.md

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# Set security user processor [ingest-node-set-security-user-processor]
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Sets user-related details (such as `username`, `roles`, `email`, `full_name`, `metadata`, `api_key`, `realm` and `authentication_type`) from the current authenticated user to the current document by pre-processing the ingest. The `api_key` property exists only if the user authenticates with an API key. It is an object containing the `id`, `name` and `metadata` (if it exists and is non-empty) fields of the API key. The `realm` property is also an object with two fields, `name` and `type`. When using API key authentication, the `realm` property refers to the realm from which the API key is created. The `authentication_type` property is a string that can take value from `REALM`, `API_KEY`, `TOKEN` and `ANONYMOUS`.
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Sets user-related details (such as `username`, `roles`, `email`, `full_name`, `metadata`, `api_key`, `realm` and `authentication_type`) from the current authenticated user. The `api_key` property exists only if the user authenticates with an API key. It is an object containing the `id`, `name` and `metadata` (if it exists and is non-empty) fields of the API key. The `realm` property is also an object with two fields, `name` and `type`. When using API key authentication, the `realm` property refers to the realm from which the API key is created. The `authentication_type` property is a string that can take value from `REALM`, `API_KEY`, `TOKEN` and `ANONYMOUS`.
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::::{important}
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Requires an authenticated user for the index request.

docs/reference/query-languages/query-dsl/query-dsl-knn-query.md

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: (Optional, object) Functionality in [preview]. Apply oversampling and rescoring to quantized vectors.
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: (Optional, object) Apply oversampling and rescoring to quantized vectors.
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::::{note}
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